• DocumentCode
    2390367
  • Title

    Model-reference adaptive steering control of a farm tractor with varying hitch forces

  • Author

    Derrick, J. Benton ; Bevly, David M. ; Rekow, Andrew K.

  • Author_Institution
    Dept. of Mech. Eng., Auburn Univ., Auburn, AL
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    3677
  • Lastpage
    3682
  • Abstract
    This paper presents a model-reference adaptive controller (MRAC) for steering a farm tractor with varying hitch forces. Hitch forces play an important role in the yaw dynamics of the tractor, and these forces change with respect to different implements and soil conditions. It is desired that the tractor has the same dynamic response no matter what the hitch forces may be. A good dynamic yaw model has been developed for a tractor with hitch forces, and one parameter in this model changes with hitch loading. A MRAC algorithm is consequently proposed to directly adapt one controller parameter to changing hitch loading. A set of cascaded controllers will be used to regulate the tractor´s lateral position, although only the controller that directly regulates the yaw rate will be adapted. The adaptation algorithm is then augmented to account for inner-loop steering actuator dynamics and saturations. Simulated and experimental results are presented.
  • Keywords
    agricultural machinery; dynamic response; force control; model reference adaptive control systems; position control; steering systems; vehicle dynamics; dynamic response; farm tractor; hitch forces; inner-loop steering actuator dynamics; model-reference adaptive control; position control; soil condition; steering control; yaw dynamics; Actuators; Adaptive control; Agricultural machinery; Control systems; Force control; Global Positioning System; Land vehicles; Programmable control; Soil; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4587065
  • Filename
    4587065